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This book comprises select proceedings of the International Conference on Production and Industrial Engineering (CPIE) 2018. The book focuses on the latest developments in the domain of operations management and systems engineering, and presents analytical models, case studies, and simulation approaches relevant to a wide variety of systems engineering problems. Topics such as decision sciences, human factors and ergonomics, transport and supply chain management, manufacturing design, operations research, waste management, modeling and simulation, reliability and maintenance, and…mehr

Produktbeschreibung
This book comprises select proceedings of the International Conference on Production and Industrial Engineering (CPIE) 2018. The book focuses on the latest developments in the domain of operations management and systems engineering, and presents analytical models, case studies, and simulation approaches relevant to a wide variety of systems engineering problems. Topics such as decision sciences, human factors and ergonomics, transport and supply chain management, manufacturing design, operations research, waste management, modeling and simulation, reliability and maintenance, and sustainability in operations and manufacturing are discussed in this book. The contents of this book will be useful to academics, researchers and practitioners working in the field of systems engineering and operations management.
Autorenporträt
Dr. Anish Sachdeva is Professor in the Department of Industrial and Production Engineering at Dr. B.R. Ambedkar National Institute of Technology, Jalandhar. He obtained his bachelors in Industrial Engineering from Regional Engineering College, Jalandhar in 1994; masters in Industrial Engineering from Punjab Technical University, Jalandhar in 2003; and his Ph.D from IIT Roorkee in 2008. He has published more than 100 research articles in international journals and conferences. His academic activities include serving as a peer reviewer in journals, acting as session chair in many international conferences, and conducting a number of training programs. His areas of interest include reliability and maintenance engineering, advanced machining, supply chain management, stochastic modeling, and system simulation. Dr. Pradeep Kumar is Professor in the Department of Mechanical & Industrial Engineering at Indian Institute of Technology, Roorkee. He obtained his bachelors (Industrial Engineering) in 1982; masters (Production Engineering) in 1989; and Ph.D. in Manufacturing and Production Engineering in 1994, all from the University of Roorkee. He has been a visiting faculty at West Virginia University, Wayne State University, AIT Bangkok, and King Fahd University of Petroleum and Minerals, Saudi Arabia. He served at the Delhi Technological University as Vice-Chancellor during 2014-15. He has published around 580 research papers in international and national journals, and conference proceedings. Dr. Kumar has completed 43 consultancy projects of various organizations, and 18 sponsored research projects in India and 1 sponsored project in USA. He also has 4 patent disclosures. His research interests include advanced manufacturing processes, microwave joining of metals, metal casting, industrial engineering, supply chain management, quality engineering, and production and operations management. Dr. Om Prakash Yadav is Professor and Interim Department Chair, Industrial and Manufacturing Engineering, North Dakota State University, Fargo. He obtained his bachelors in Mechanical Engineering from Malviya National Institute of Technology, Jaipur in 1986; masters in Industrial Engineering from National Institute of Industrial Engineering, Bombay in 1992; and Ph.D. in Industrial and Manufacturing Engineering from Wayne State University, Detroit in 2002. He has published more than 120 scientific papers in international journals and conferences, and edited more than 15 books and proceedings. He has successfully completed nearly 30 fully funded research and consultancy projects. His research interests include quality and reliability engineering, production and operations management, supply chain (logistics), inventory modeling, lean manufacturing, quantitative modeling, statistical analysis, fuzzy logic, and neural networks.